publication . Master thesis . Bachelor thesis . 2017

Quantum Machine Learning

Riu I Vicente, Jordi;
Open Access English
  • Published: 10 Jan 2017
  • Publisher: Universitat Politècnica de Catalunya
Abstract
[EN] In a world in which accessible information grows exponentially, the selection of the appropriate information turns out to be an extremely relevant problem. In this context, the idea of Machine Learning (ML), a subfield of Artificial Intelligence, emerged to face problems in data mining, pattern recognition, automatic prediction, among others. Quantum Machine Learning is an interdisciplinary research area combining quantum mechanics with methods of ML, in which quantum properties allow for an exponential speed-up in the algorithms. This field is currently one of the main research areas in companies like Google and Microsoft, due to the revolution that they c...
Subjects
free text keywords: Quantum Approximate Optimization Algorithm, Aprenentatge automàtic, Quantum computers, machine learning, Màxim Tall., Reinforcement Learning, Computació Quàntica, Deep Q-Learning, :Informàtica [Àrees temàtiques de la UPC], quantum machine learning, quantum computing, algoritmo, computación cuántica, Aprenentatge per reforç, Ordinadors quàntics, algorithm
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Master thesis . Bachelor thesis . 2017

Quantum Machine Learning

Riu I Vicente, Jordi;